Articles | Volume 22, issue 10
Nat. Hazards Earth Syst. Sci., 22, 3385–3412, 2022
https://doi.org/10.5194/nhess-22-3385-2022
Nat. Hazards Earth Syst. Sci., 22, 3385–3412, 2022
https://doi.org/10.5194/nhess-22-3385-2022
Research article
19 Oct 2022
Research article | 19 Oct 2022

Process-based flood damage modelling relying on expert knowledge: a methodological contribution applied to the agricultural sector

Pauline Brémond et al.

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Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on nhess-2021-398', Anonymous Referee #1, 26 Jan 2022
    • AC1: 'Reply on RC1', Pauline Bremond, 28 Mar 2022
  • RC2: 'Comment on nhess-2021-398', Anonymous Referee #2, 03 Feb 2022
    • AC2: 'Reply on RC2', Pauline Bremond, 28 Mar 2022

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Reconsider after major revisions (further review by editor and referees) (10 Apr 2022) by Heidi Kreibich
AR by Pauline Bremond on behalf of the Authors (29 Jun 2022)  Author's response    Author's tracked changes    Manuscript
ED: Referee Nomination & Report Request started (30 Jun 2022) by Heidi Kreibich
RR by Anonymous Referee #2 (05 Jul 2022)
RR by Anonymous Referee #1 (17 Jul 2022)
ED: Publish subject to minor revisions (review by editor) (22 Aug 2022) by Heidi Kreibich
AR by Pauline Bremond on behalf of the Authors (09 Sep 2022)  Author's response    Author's tracked changes    Manuscript
ED: Publish as is (10 Sep 2022) by Heidi Kreibich
AR by Pauline Bremond on behalf of the Authors (20 Sep 2022)  Author's response    Manuscript
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Short summary
It is impossible to protect all issues against flood risk. To prioritise protection, economic analyses are conducted. The French Ministry of the Environment wanted to make available damage functions that we have developed for several sectors. For this, we propose a methodological framework and apply it to the model we have developed to assess damage to agriculture. This improves the description, validation, transferability and updatability of models based on expert knowledge.
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